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AI coding agents can produce changes faster than teams can review them.
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Agents treat API errors as instructions.
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With layoffs, automation, and a tough job market, is a career in software still worth recommending?
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A review of recent articles exploring what retrieval interface agents should use to search for context, and the common principles emerging from different approaches.
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There are many things that can hurt your career in tech, but one particular bad habit can derail it completely.
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What if we could create a social network with no humans involved at all?
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The old hiring playbook is history.
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AI agents will happily dive into your data lake and produce exactly the right report.
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If you ask 10 executives which roles they need to run an AI adoption project, 9 of them won't mention data engineers.
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When you build an integration with an LLM provider and test it locally, everything usually looks fine.
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How I combined elements of Hierarchical Task Network planning with LLMs to create a more consistent and flexible planning system.
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Self-correction strategies where LLMs don't just generate content but actively review and refine their own outputs to fix errors autonomously.
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LLMs can reason about complex input.
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When does a former startup start to feel corporate?
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The hiring manager interview is often a free-form conversation that candidates don't take seriously.
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Defining data governance from first principles and explaining its place in the larger area of data management.
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Next to technical expertise, the best engineers possess skills that amplify their impact.
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The concept of a 10x engineer sparked debates.
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A comprehensive list of skills that will get you a data engineering position and help you succeed in this role.
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Why is there seemingly so much legacy everywhere you look?